Tootfinder

I left a comment last week on Smashing’s “Design Patterns For AI Interfaces” (which is still in moderation):
https://www.smashingmagazine.com/2025/07/design-patterns-ai-interfaces/
Essentially, if your UI doesn’t also try to prevent harm then it might …

Design Patterns For AI Interfaces — Smashing Magazine
Designing a new AI feature? Where do you even begin? Here’s a simple, practical overview with useful design patterns for better AI experiences.

TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics
Tianrong Chen, Huangjie Zheng, David Berthelot, Jiatao Gu, Josh Susskind, Shuangfei Zhai
https://arxiv.org/abs/2506.21757

TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics
Diffusion models have demonstrated exceptional capabilities in generating high-fidelity images but typically suffer from inefficient sampling. Many solver designs and noise scheduling strategies have been proposed to dramatically improve sampling speeds. In this paper, we introduce a new sampling method that is up to $186\%$ faster than the current state of the art solver for comparative FID on ImageNet512. This new sampling method is training-free and uses an ordinary differential equation (OD…

Microsoft did this? I’m shocked. I thought they were too busy helping Israel commit genocide in Palestine. How do they even find the time? https://xoxo.zone/@davidcelis/115114482372317211

david celis (@davidcelis@xoxo.zone)
Attached: 1 image GitHub straight up blocked a woman from the community org for writing this in the discussion about Grok in Copilot. The entire situation is growing exponentially more distasteful the longer they choose to censor rather than respond. This is just so, so shameful.

I started designing a hook. I didn't have a plan, just started writing code. It mostly works, still need to make it parametric.
How would do make a simple hook like this?
#OpenSCAD #OpenSCADClub @…

On the Definition of Intelligence
Kei-Sing Ng
https://arxiv.org/abs/2507.22423 https://arxiv.org/pdf/2507.22423

On the Definition of Intelligence
To engineer AGI, we should first capture the essence of intelligence in a species-agnostic form that can be evaluated, while being sufficiently general to encompass diverse paradigms of intelligent behavior, including reinforcement learning, generative models, classification, analogical reasoning, and goal-directed decision-making. We propose a general criterion based on sample fidelity: intelligence is the ability, given sample(s) from a category, to generate sample(s) from the same category. …

The new USGS Cooperative National Geologic Map web tool was designed to also be mobile friendly,
allowing users to explore geologic data from smartphones and tablets, in addition to larger devices
https://ngmdb.usgs.gov/nationalgeology

Cooperative National Geologic Map | NGMDB
Explore the Cooperative National Geologic Map, a unified view of our Nation's geology, with interactive layers and geologic data.

Klingt ja simpel, aber schon erstaunlich, dass Instrumente nicht angepasst sind…
When surgical tools don’t fit: how gender bias in design puts female surgeons at risk
https://theconversation.com/when-surgical-tools-…

When surgical tools don’t fit: how gender bias in design puts female surgeons at risk
Why surgical device design is changing to match the diversity of today’s operating rooms.

So arguably the Pac-Man ghost logic is the exact opposite of “AI”.
It’s extremely well defined behavior based on very basic deterministic algorithms that are so simple a 8-year old player can understand them and anticipate them correctly for those high-scores.
The game actually is famous for the simple enemy logic and studied by games designers for it.
Pac-Man enemy behavior:
deterministic, well-defined algorithm that can easily be executed on the most primitive* computer hardware
“AI”:
black-box algorithm with indeterministic behavior that requires a metric shitload of compute
—
*By “primitive computer hardware” I mean that the Pac-Man arcade machine runs on a Zilog Z80 CPU with 8,500 transistors.The CPU in the phone you are reading this on has (latest iPhone as example) 15 billion transistors or so (almost 2 million times more) and runs tens of thousands of times faster.

A new algorithm for sampling parameters in a structured correlation matrix with application to estimating optimal combinations of muscles to quantify progression in Duchenne muscular dystrophy
Michael K. Kim, Michael J. Daniels, William D. Rooney, Rebecca J. Willcocks, Glenn A. Walter, Krista H. Vandenborne
https://arxiv.org/abs…

A new algorithm for sampling parameters in a structured correlation matrix with application to estimating optimal combinations of muscles to quantify progression in Duchenne muscular dystrophy
The goal of this paper is to estimate an optimal combination of biomarkers for individuals with Duchenne muscular dystrophy (DMD), which provides the most sensitive combinations of biomarkers to assess disease progression (in this case, optimal with respect to standardized response mean (SRM) for 4 muscle biomarkers). The biomarker data is an incomplete (missing and irregular) multivariate longitudinal data. We propose a normal model with structured covariance designed for our setting. To sampl…

TS-Insight: Visualizing Thompson Sampling for Verification and XAI
Parsa Vares, \'Eloi Durant, Jun Pang, Nicolas M\'edoc, Mohammad Ghoniem
https://arxiv.org/abs/2507.19898

TS-Insight: Visualizing Thompson Sampling for Verification and XAI
Thompson Sampling (TS) and its variants are powerful Multi-Armed Bandit algorithms used to balance exploration and exploitation strategies in active learning. Yet, their probabilistic nature often turns them into a ``black box'', hindering debugging and trust. We introduce TS-Insight, a visual analytics tool explicitly designed to shed light on the internal decision mechanisms of Thompson Sampling-based algorithms, for model developers. It comprises multiple plots, tracing for each arm the evol…